predict | RandomSearch | Hyperparameter Tuning in teradataml - predict - Teradata Package for Python

Teradata® Package for Python User Guide

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Package for Python
Release Number
20.00
Published
December 2024
ft:locale
en-US
ft:lastEdition
2025-01-23
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nvi1706202040305.ditamap
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plt1683835213376.ditaval
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rkb1531260709148
Product Category
Teradata Vantage

Use the predict() method for prediction using models generated by model training function from Analytics Database, VAL, and UAF features.

Predictions are done using the best trained model.

Predict function is not supported for non-model trainer function.

Optional Arguments:

  • kwargs: Specifies the keyword arguments. Accepts all merge model predict feature arguments required for the teradataml analytic function predictions.

Output teradataml DataFrames can be accessed using attribute references, such as HPTEvaluateObj.<attribute_name>. Output teradataml DataFrame attribute name is: result.